Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS
Yunitaningtyas, Kristiana
Unknown Affiliation
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Identifying Stratifications of Cancer Patient Visits: Approach of Clustering Using PCA of Mixed Data Yunitaningtyas, Kristiana; Herianti, Herianti
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.622

Abstract

Cancer is a significant contributor to the burden of non-communicable diseases and one of the diseases with the highest costs in Indonesia’s health insurance system. Understanding key factors influencing cancer patient visits and risk groups under national health insurance supports evidence-based and sustainable cancer care financing. The aim is to identify key factors influencing inpatient visits among cancer survivors and map risk patterns to improve cancer health service policies, using a 1% sample of claim data from the national health insurance (JKN) program. The PCA of mixed data analysis revealed that cost-severity level and contributionward classes shared influence of the visits. After PCA, K-Means was applied and 4 clusters were obtained. K-Means can give better understanding of the patient visits, especially the need for distinct strategies to be implemented for the groups so that the burden of cancer disease financing under the national health insurance program can be reduced.
Co-Authors Herianti, Herianti